Assessment of Ballast Layer Under Multiple Field Conditions in China

20 Pages Posted: 23 Dec 2021

See all articles by Yunlong Guo

Yunlong Guo

Delft University of Technology

Shilei Wang

affiliation not provided to SSRN

Guoqing Jing

Beijing Jiaotong University

Fei Yang

affiliation not provided to SSRN

Guixian Liu

affiliation not provided to SSRN

Weile Qiang

affiliation not provided to SSRN

Yan Wang

affiliation not provided to SSRN

Abstract

Traditional ballast layer inspection method and maintenance standards cannot meet the current railway rapid development, such as higher speed and heavier axle load. To enhance the ballast layer inspection accuracy and supplement the maintenance standards, the ground penetrating radar (GPR) has been studied to reflect ballast layer fouling level in this paper, including indicator (from GPR signal processing) investigation, fouling composition and correlation between GPR signal and fouling level (assessed by sieving). The railway lines under different complex conditions, including ballast material, gross passing load, clean and renewal year as well as transportation type are considered as factors influencing the ballast layer fouling level. The results show that the GPR is able to assess ballast layer fouling level with only 1-7% difference to the assessment (through sieving results). In addition, the fouling composition (ballast material) has great influence on the GPR signal, especially the metal material, such as the iron ore. Future development direction on GPR should be towards more precise analysis on both the fouling level and the fouling composition identification.

Keywords: Ground Penetrating Radar, GPR, railway ballast, track inspection, ballast fouling, track geometry

Suggested Citation

Guo, Yunlong and Wang, Shilei and Jing, Guoqing and Yang, Fei and Liu, Guixian and Qiang, Weile and Wang, Yan, Assessment of Ballast Layer Under Multiple Field Conditions in China. Available at SSRN: https://ssrn.com/abstract=3992682 or http://dx.doi.org/10.2139/ssrn.3992682

Yunlong Guo (Contact Author)

Delft University of Technology ( email )

Stevinweg 1
Stevinweg 1
Delft, 2628 CN
Netherlands

Shilei Wang

affiliation not provided to SSRN ( email )

Guoqing Jing

Beijing Jiaotong University ( email )

No.3 of Shangyuan Residence Haidian District
Beijing, 100089
China

Fei Yang

affiliation not provided to SSRN ( email )

Guixian Liu

affiliation not provided to SSRN ( email )

Weile Qiang

affiliation not provided to SSRN ( email )

Yan Wang

affiliation not provided to SSRN ( email )

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